High-throughput spatial proteomics from cellular to subcellular scales via a hanging droplet workflow

Hao Chen, Ulises H. Guzman, Jesper V. Olsen

Open source

DOI: 10.1038/s41467-026-78415-x
Published: 2026-10-09
Container: Nature Communications
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-026-78415-x,
  title = {High-throughput spatial proteomics from cellular to subcellular scales via a hanging droplet workflow},
  author = {Hao Chen and Ulises H. Guzman and Jesper V. Olsen},
  year = {2026},
  journal = {Nature Communications},
  doi = {10.1038/s41467-026-78415-x},
  url = {https://doi.org/10.1038/s41467-026-78415-x}
}

RIS

TY  - JOUR
TI  - High-throughput spatial proteomics from cellular to subcellular scales via a hanging droplet workflow
AU  - Hao Chen
AU  - Ulises H. Guzman
AU  - Jesper V. Olsen
PY  - 2026
JO  - Nature Communications
DO  - 10.1038/s41467-026-78415-x
UR  - https://doi.org/10.1038/s41467-026-78415-x
ER  -

APA

Chen, H., Guzman, U. H., & Olsen, J. V. (2026). High-throughput spatial proteomics from cellular to subcellular scales via a hanging droplet workflow. Nature Communications. https://doi.org/10.1038/s41467-026-78415-x

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crossref · retrieved 2026-11-09T20:11:45.036Z